Data Engineering Fundamentals Course
This course introduces foundational data engineering concepts through practical, hands-on projects focused on building reliable data pipelines for analytics.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
The Data Engineering Basics Course provides a straightforward, hands-on guide to creating dependable analytics data. You will cover designing raw schemas for events, users, and purchases, daily data intake and storage methods, transformation and enrichment processes, key data quality verifications, error management, and basic warehouse modelling, ending with simple SQL-like queries that enable precise, reliable reports.
Elevify advantages
Develop skills
- Design analytics schemas: model users, events, and purchases for quick insights.
- Build daily data pipelines: ingest, store, and transform CSV exports reliably.
- Clean and enrich data: remove duplicates, correct timestamps, and derive sessions and attributions.
- Write practical SQL: join raw tables, define metrics, and answer business questions.
- Implement data quality checks: detect schema drift, anomalies, and broken keys.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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